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Overview

  • No-Sampling:No sampling is applied to the dataset, serving as the baseline.
  • Phi4-Sampling:Following the Phi-4 paper, synthetic and rewritten sub-domain datasets are upsampled.

Both configs were trained with 100B tokens for performance comparison.

Evaluation

Category Metrics (shots) No-Sampling (100B) Phi4-Sampling (100B)
English-Commonsense Reasoning HellaSwag (5-shot) 0.4722 0.4827
TruthfulQA (0-shot) 0.4114 0.4016
Winogrande (5-shot) 0.5975 0.6117
CommonsenseQA (5-shot) 0.2023 0.1933
PIQA (5-shot) 0.7612 0.7644
OpenBookQA (5-shot) 0.2640 0.3040
BoolQ (5-shot) 0.5615 0.6621
English-Problem-Solving ARC Easy (5-shot) 0.7222 0.7487
ARC Challenge (5-shot) 0.3703 0.3993
MMLU (5-shot) 0.2707 0.2652
English-Mathematics GSM8K (5-shot) 0.0349 0.1039
Minerva Math (4-shot) 0.0118 0.0248
Chinese CEval (5-shot) 0.2481 0.2281
CMMLU (5-shot) 0.2469 0.2538
Average Metrics Average-English (w/o Math) 0.4633 0.4833
Average-English 0.3900 0.3992
Average-Chinese 0.2475 0.2538
Average 0.3696 0.3888
Average (w/o Math) 0.4274 0.4429